
5.1.1 GPS
Satellite Surveying: Some Considerations
GPS SURVEYING versus GPS
NAVIGATION
|
In this
section several important matters concerning the GPS satellite
surveying
methodology will be discussed:
The fundamental differences between the GPS Navigation and
GPS Surveying modes of positioning.
The factors
which have encouraged the adoption of GPS, in place
of competing
positioning technologies, for a range of possible land surveying
users.
The distinction between GPS Surveying and
GPS Navigation
can be made according to a variety of criteria, for
example:
- According to "when", "where"
and "how"
the GPS technology is applied. This focuses
on the applications,
and the following simplistic distinction is therefore
made: GPS
Navigation supports the safe passage of a vessel or aircraft,
from the port of departure, while underway and to its point of arrival;
while GPS Surveying is mostly associated with the traditional functions
of establishing geodetic control, supporting engineering construction,
cadastral surveys and map making.
- According to operational aspects, such
as the real-time,
absolute positioning aspects of Navigation, as opposed
to the
post-processed, "unhurried", relative positioning
characteristics
of GPS Surveying.
- According to the type of measurement made and
the GPS instrumentation
used. GPS Navigation-type receivers are
comparatively low-cost,
code-correlating instruments that only measure
pseudo-range, whereas GPS
Surveying receivers are expensive, phase measuring
instruments that
include many special features and complex software in
order to support
their function.
- According to the mathematical
models used.
For example, because the primary measurement in GPS
Navigation is the pseudo-range,
the biases are dealt with in a more
"casual" fashion (with the
exception of the clock errors, they
are all ignored!). In contrast, GPS
Surveying requires a more careful
treatment of the biases during the data
processing.
The
particular characteristics of GPS (land) surveying, the modes of
positioning
and a review of the treatment of GPS biases (and the resulting
operational
requirements) are summarised below.

Characteristics of GPS Surveying and GPS
Navigation
Some characteristics of
GPS Satellite Surveying are:
The points
being coordinated are stationary.
GPS data are collected over some
"observation
session".
Relative positioning modes of operation,
and hence
high accuracies.
The
measurements are made on the L-band
carrier
wave, hence requiring special instrumentation and software.
Mostly associated with the traditional surveying
and mapping
functions.
Some characteristics of GPS Satellite
Navigation are:
The points being
coordinated are generally in motion.
GPS is collected for an
"instant",
and the solution is obtained in
real-time.
Absolute and
relative positioning modes
of operation, of comparatively low accuracy.
The measurements are typically made on the PRN
codes, and requires the processing of
pseudo-range data.
Mostly associated with defining safe passage
of ships and
aircraft.

GPS Positioning
Modes
The main positioning modes for GPS
surveying and navigation are (section
2.4.1):
- ABSOLUTE or POINT
positioning:
coordinates are in relation to a
well-defined global reference system.
- DIFFERENTIAL or RELATIVE positioning:
coordinates are in relation to some other fixed point.
In
GPS surveying this is referred to as baseline determination.
- STATIC positioning:
coordination
of stationary points, either in absolute or relative mode.
This is
generally synonymous with the SURVEYING mode of positioning,
based on the
analysis of carrier phase observations.
- KINEMATIC positioning:
coordination of moving points, either in absolute or relative mode.
This
is generally the NAVIGATION mode of positioning, based on
pseudo-range
observations.
| As all GPS observations are
plagued with biases, hence for both
navigation and surveying applications
an appropriate combination of measurement
and processing strategies must be
used to minimise
their effect on the
positioning
results. |
There are some
distinctions to be made in the way the data is processed
in order to
minimise the effect of biases in the measurements.
Pseudo-range data is relatively
"noisy",
and the significant biases are accounted for in the
following way:
- In the point positioning mode, satellite
clock error is ignored, as
it is assumed (after applying the broadcast
clock error model -- section 3.3.2) to be
smaller than the measurement
noise,
- Receiver clock error is
estimated in real-time through redundant measurements,
because all data
is contaminated by the same bias.
- In the relative positioning mode,
all satellite and propagation biases
are significantly
reduced.
This is the NAVIGATION mode of positioning, as
results are obtained
in real-time (when four or more pseudo-ranges are
processed simultaneously).
Relative navigation is of higher accuracy asthe
primary biases due to orbit
error, atmospheric refraction and SA are
minimised.
Integrated carrier beat
phase data is very
precise, hence any contamination by systematic
errors is of greater concern
than in the case of pseudo-range measurements.
Appropriate processing techniques
must therefore be used. However, the
primary drawback of this data type
is its range "ambiguity". In
GPS surveying the major biases are
accounted for in the following
ways:
- Differencing data collected simultaneously from two
or more GPS receivers,
to several GPS satellites, between satellites
and between receivers.
This eliminates, or significantly reduces,
most of the biases. All position
results are therefore expressed relative
to (fixed) datum stations.
- The "ambiguity" bias is often
estimated, though a weaker
solution can be obtained from the appropriate
triple-differenced observable
(section 6.3).
This is
the SURVEYING mode. The fact that the receivers are stationary,
and that
data is collected over some observation period, permits the ambiguities
to
be reliably estimated and a strong solution obtained. There are
alternative
means of estimating ambiguities that permit real-time kinematic
baseline
determination to be carried out as
well.

The GPS Satellite
Surveying Methodology:
Some
Comments
Comments
to the operational aspects of GPS Surveying:
- Survey planning considerations are
derived
from:
- The nature and aim of the survey
project --> as for conventional
surveys.
- The unique
characteristics of GPS, and in particular no requirement
for station
intervisibility --> a simplification in survey design.
- The number of points to be surveyed, the resources at the surveyor's
disposal, and the strategy to be used for propagating the survey
-->
a logistical problem.
- Prudent survey practice,
requiring redundancy and check measurements
to be incorporated into the
network design.
- The requirement for training in the
operation
of GPS survey receiver hardware,
and post-processing
software, as well as
being aware of calibration
and test
procedures.
- Field
operations are characterised by
requirements for:
- Setup of antennas over predefined ground marks.
- Simultaneous
operation of two or more GPS receivers.
- Coordinate data gathering
operation so that data collected has the
same time-tags, involves the
same satellites, etc.
- Common data collection over some observation
session.
- Coordinated demount of GPS antennas and transport to new
stations.
- Field
validation of data collected, in
order to:
- Verify sufficient common data collected at all sites operating
simultaneously.
- Verify quality of data to ensure that acceptable
results will be obtained.
- Where data dropout is high or a station
has not collected sufficient
data, reoccupation may be necessary.
- Office calculations:
- To obtain GPS solutions for single sessions or baselines.
- To combine the results of single sessions into a network solution.
- To incorporate external information (for example, local control
station
coordinates), and hence modify the GPS-only network solution.
- To transform the GPS results to the local geodetic datum, and to
derive
orthometric heights.
- To verify the accuracy and
reliability of the GPS survey.
Comments
to the GPS Survey Solution:
- The fundamental unit of a GPS solution is a 3-D
baseline vector joining the antennas of two GPS receivers that have
been tracking simultaneously the same
satellites.
GPS software to carry out the solution task is usually
provided by the
instrument manufacturer.
- One end of the baseline is
held "fixed" (its coordinates
are assumed known), and the other
station's coordinates are determined
relative to it (in effect, the
baseline components are estimated).
- Solutions may be obtained from
ambiguity-free or ambiguity-fixed double-differenced
data solutions, with
different resultant accuracies and reliabilities.
- All results are
obtained in the quasi-WGS84 reference system, but relative
to a fixed
station (the WGS84 coordinates of one end of the baseline are
assumed
known).
- All results refer to the antenna phase centres, and the
height of antenna
and any offsets must be applied in order to reduce the
coordinates to the
ground marks. The quality of the
baseline vector
solution is dependent on, amongst other things:
- length of the (common) observing session,
- the number
of satellites tracked by the receivers,
- the quality of the data
(multipath and cycle slips, single or dual-frequency
data, presence of
noise and other biases),
- the type of baseline solution:
triple-difference, double-difference,
etc., and
- the software
used to reduce the data.
- If during an observation session
more then two receivers were deployed,
independent baselines need to be
processed, either in a single combined
solution or separately.
- If a
network needs to be surveyed over a number of sessions (because
the
number of points is greater than the number of GPS receivers), a
combination
of separate baseline solutions is needed in a subsequent
"network
adjustment" step.
- This network solution may then
be constrained and transformed into
the local geodetic datum if
sufficient geodetic control stations (with
coordinates in the local
datum) are also surveyed as well.
- GPS survey results should be
"quality controlled" at all
stages of survey and data
processing.
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© Chris Rizos, SNAP-UNSW, 1999